A network-based framework for shape analysis enables accurate characterization of leaf epidermal cells
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
Dokumenter
- A network-based framework for shape analysis enables accurate characterization of leaf epidermal cells
Forlagets udgivne version, 3,17 MB, PDF-dokument
Cell shape is crucial for the function and development of organisms. Yet, versatile frameworks for cell shape quantification, comparison, and classification remain underdeveloped. Here, we introduce a visibility graph representation of shapes that facilitates network-driven characterization and analyses across shapes encountered in different domains. Using the example of complex shape of leaf pavement cells, we show that our framework accurately quantifies cell protrusions and invaginations and provides additional functionality in comparison to the contending approaches. We further show that structural properties of the visibility graphs can be used to quantify pavement cell shape complexity and allow for classification of plants into their respective phylogenetic clades. Therefore, the visibility graphs provide a robust and unique framework to accurately quantify and classify the shape of different objects.
Originalsprog | Engelsk |
---|---|
Artikelnummer | 458 |
Tidsskrift | Nature Communications |
Vol/bind | 12 |
Udgave nummer | 1 |
Antal sider | 13 |
ISSN | 2041-1723 |
DOI | |
Status | Udgivet - 2021 |
Antal downloads er baseret på statistik fra Google Scholar og www.ku.dk
ID: 257284817